Prof. Dr. Didier Stricker
Dr. Alain Pagani
Dr. Gerd Reis
M.A. Eric Thil
Nicole Stephanie Buhlinger
Keonna Cunningham
Dr. Oliver Wasenmüller
Dr. Gabriele Bleser
Dr. Bertram Taetz
M.Sc Rashed Al Koutayni
Yuriy Anisimov
Ramy Battrawy
Hammad Butt
Mahdi Chamseddine
Steve Dias da Cruz
M.Sc. Fangwen Shu
Torben Fetzer
Michael Fürst
Christiano Couto Gava
Vladislav Golyanik
Hartmut Feld
Andreas Kölsch
Onorina Kovalenko
Stephan Krauß
Paul Lesur
Muhammad Jameel Nawaz Malik
Nareg Minaskan Karabid
Mathias Musahl
Peter Neigel
Manthan Pancholi
Jason Raphael Rambach
María Alejandra Sánchez Marín
Kripasindhu Sarkar
Alexander Schäfer
René Schuster
Mohamed Selim
M.Sc. Dennis Stumpf
Yongzhi Su
Xiaoying Tan
Aditya Tewari
André Luiz Brandão
Ahmet Firintepe
Sk Aziz Ali
Jilliam Maria Diaz Barros
Tewodros Amberbir Habtegebrial
Mina Ameli
Pramod Murthy
Online Mode Detection for Pen-Enabled Multi-Touch Interfaces
Online Mode Detection for Pen-Enabled Multi-Touch Interfaces
15th Conf of the International Graphonomics Society International Graphonomics Society Conference (IGS-2011), June 12-15, Live Aqua Cancun, Mexico
- Abstract:
- In this paper we describe a system which allows for intuitive pen input for human-machine-interaction on multi-touch surfaces. The system automatically analyzes the handwritten strokes and detects if they correspond to handwriting or to graphics or symbols. We propose an architecture which integrates this online mode detection system into a software development kit (SDK) to ease the design of pen-based applications. This novel toolkit allows for automated ink interpretation including handwriting recognition and shape detection. We have evaluated our system on a set of 1,600 handwritten words and symbols and integrated this system into a running demonstration prototype.